AAEON UPX-ARL01
Geekbench AI Score
2086
Single Precision Score
2073
Half Precision Score
1534
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 29 2025 07:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | AAEON UPX-ARL01 |
| Motherboard | AAEON UPX-ARL01 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 6.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1584
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.4 IPS |
|
|
Image Classification (Q)
|
99% |
1136
211.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1177
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2505
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2206
2.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
3080
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
1709
135.5 IPS |
|
|
Object Detection (HP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (Q)
|
85% |
1061
85.4 IPS |
|
|
Face Detection (SP)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
2417
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2355
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2314
17.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2000
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3139
4.03 IPS |
|
|
Style Transfer (HP)
|
100% |
3203
4.12 IPS |
|
|
Style Transfer (Q)
|
98% |
5918
7.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1898
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1890
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1626
60.2 IPS |
|
|
Text Classification (SP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1038
1.39 KIPS |
|
|
Text Classification (Q)
|
92% |
625
840.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2403
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2340
40.3 IPS |
|
|
Machine Translation (Q)
|
58% |
570
13.4 IPS |
